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Risk stratification in unstable angina. Prospective validation of the Braunwald classification.

OBJECTIVES: To validate the Braunwald classification of unstable angina as a predictor of in-hospital cardiac complications; to determine which factors of the Braunwald classification contributed significantly to this prediction; and to devise a method of combining these predictive factors into an overall odds ratio for complications. DESIGN: A validation cohort of consecutive patients followed prospectively for in-hospital cardiac complications including myocardial infarction and death. SETTING: A community-based academic medical center. PATIENTS: A total of 393 patients admitted consecutively to the coronary care and intermediate care units with unstable angina. MAIN OUTCOME MEASURES: Major cardiac complications including death, myocardial infarction, congestive heart failure, cardiogenic shock, and severe ventricular dysrhythmias. RESULTS: Multiple logistic regression analysis identified four clinical factors used in the Braunwald classification that predicted the in-hospital occurrence of major cardiac complications: (1) myocardial infarction within less than 14 days (odds ratio [OR], 5.72; 95% confidence interval [CI], 1.92 to 16.97); (2) need for intravenous nitroglycerin (OR, 2.33; 95% CI, 1.31 to 4.17); (3) lack of beta-blocker or calcium channel blocker prior to admission (OR, 3.83; 95% CI, 1.55 to 9.42); and (4) baseline ST depression (OR, 2.81; 95% CI, 1.45 to 5.47). Two other clinical factors, diabetes and age, were also significant predictors. Validation of this model using parametric and nonparametric bootstrap techniques revealed excellent agreement between the CIs for adjusted ORs derived from the multiple logistic regression and those derived from the bootstrap. CONCLUSIONS: The classification of unstable angina proposed by Braunwald includes four factors that predict risk of major in-hospital cardiac complications. Specific factors used in this classification can be combined with diabetes and age to better stratify risk of major cardiac complications in this disorder using a simpler model.

Age Factors↗

[Molecular phylogeny of Turbellaria, based on data from comparing the nucleotide sequences of 18S ribosomal RNA genes].

Polymerase chain reaction and direct sequencing of the 5'-end region of the 18S ribosomal RNA gene were used to infer phylogenetic relationship among turbellarian flatworms from Lake Baikal. Representatives of 5 orders (Tricladida--10 spp., Lecithoepitheliata--5 spp., Prolecithophora--3 spp., Proseriata and Kalyptorhynchia one for each) were studied; nucleotide sequence of more than 340 nucleotides was determined for each species. Consensus sequence for each order having more than one representative species was determined. Distance matrix and maximum parsimony approaches were applied to infer phylogenies. Bootstrap procedure was used to estimate confidence limits, at the 100% level by bootstrapping, the group of three orders: Kalyptorhynchia, Proseriata and Lecithoepitheliata was found to be monophyletic. However, subsets inside the group had no significant support to be preferred or rejected. Our data do not support traditional systematics which joins two suborders Tricladida and Proseriata into the single order Seriata, and also do not support comparative anatomical data which show close relationship of Lecithoepitheliata and lower Prolecithophora.

Animals↗

The effect of sampling error and measurement error and its correlation on the estimation of multi-locus fixed-bin VNTR RFLP genotype probabilities.

Bootstrapping was used to examine the effect of sampling error and measurement error and its correlation on fixed-bin genotype probabilities. Bootstrap confidence intervals (Cls) were made relative to the point estimate using the log of the inverse of the probabilities. From databases of 200-250 genotypes, sampling error alone yielded median relative 95% CIs of from one order of magnitude out of five for one locus to one out of ten for four loci. Measurement error of the test genotype fragments increased the latter to about one order of magnitude out of eight. Database measurement error and its correlation had only a slight effect on multi-locus probability uncertainty. Together, these uncertainties are several orders of magnitude greater than error due to population substructuring of a race by its major component ethnic groups.

Confidence Intervals↗

Comparison of three estimators of species richness in parasite component communities.

Comparisons of species richness between parasite component communities are often confounded by uneven sampling effort and the possibility that rare species have been missed from some component communities. The use of nonparametric estimators of species richness could potentially alleviate this problem by allowing the number of missing species to be extrapolated from the observed data. The performance of 3 estimators and their sensitivity to true species richness and the frequency of rare species, i.e., species with low prevalence, were tested using computer-simulated parasite communities. When the number of hosts examined in a sample is large, the observed species richness is an accurate estimate of true richness; no extrapolation is necessary even when rare species make up a large part of the community. At small sample sizes, observed species richness is a poor underestimate of true richness. The jackknife estimator and Chao's estimator both improve the estimate of species richness, but they are imprecise and can seriously overshoot the true richness value when the community includes many rare species. The bootstrap estimator. on the other hand, gives a better estimate than observed richness. Bootstrap estimates are also less variable and less likely to overestimate true richness, independently of how frequent rare species are in the community. This estimator provides a better, but conservative, estimate of true richness than observed richness and should be used to correct for inadequate host sampling. Data from natural communities suggest that the use of richness estimators is often justified, and that many parasite species may regularly escape detection.

Animals↗

Comparative Phylogeography of Mesoamerican Highland Rodents: Concerted versus Independent Response to Past Climatic Fluctuations.

The phylogeography of Sumichrast's harvest mouse (Reithrodontomys sumichrasti) was examined through maximum-likelihood and parsimony analyses of 1,130 bp of mitochondrial Cytochrome b sequence data from 43 individuals. The phylogeography of this Middle American highland forest-dwelling species was compared to that previously published for the codistributed Aztec deer mouse complex (Peromyscus aztecus/Peromyscus hylocetes complex) in order to test competing hypotheses of concerted versus independent responses of codistributed forms to past climatic fluctuations. Qualitatively, there were strong similarities in the phylogeographic patterns of the two groups, yet there were also areas of incongruence. Likelihood-ratio tests (Kishino-Hasegawa-Templeton and parametric bootstrap tests) indicated that this incongruence is significant and cannot be attributed simply to uncertainty in phylogenetic estimation, thereby falsifying the concerted-response hypothesis. Conversely, tree-reconciliation analysis of the area relationships inferred for each group separately indicated that there has been a significant history of covicariance between the two groups, falsifying the independent-response hypothesis. It appears that codistributed taxa in the geologically complex highlands of Mesoamerica share more common biogeographical history than can be accounted for by the independent-response hypothesis yet have not responded to past climatic fluctuations in the lock-step fashion predicted by the concerted-response hypothesis.

Middle American highlands↗

Learning directed acyclic graphs for ligands and receptors based on spatially resolved transcriptomic data of ovarian cancer.

To unravel the mechanism of immune activation and suppression within tumors, a critical step is to identify transcriptional signals governing cell-cell communication between tumor and immune/stromal cells in the tumor microenvironment. Central to this communication are interactions between secreted ligands and cell-surface receptors, creating a highly connected signaling network among cells. Recent advancements in in situ-omics profiling, particularly spatial transcriptomic (ST) technology, provide unique opportunities to directly characterize ligand-receptor signaling networks that power cell-cell communication. In this paper, we propose a novel statistical method, LRnetST, to characterize the ligand-receptor interaction networks between adjacent tumor and immune/stroma cells based on ST data. LRnetST utilizes a directed acyclic graph model with a novel approach to handle the zero-inflated distributions of ST data. It also leverages existing ligand-receptor regulation databases as prior information, and employs a bootstrap aggregation strategy to achieve robust network estimation. Application of LRnetST to ST data of high-grade serous ovarian tumor samples revealed both common and distinct ligand-receptor regulations across different tumors. Some of these interactions were validated through both a MERFISH dataset and a CosMx SMI dataset of independent ovarian tumor samples. These results cast light on biological processes relating to the communication between tumor and immune/stromal cells in ovarian tumors. An open-source R package of LRnetST is available on GitHub at https://github.com/jie108/LRnetST.

Humans↗

Machine learning-guided risk stratification in elderly AML based on genomic, immunophenotypic and therapeutic profiles.

BACKGROUND: Elderly patients with acute myeloid leukemia (AML) exhibit considerable biological and clinical heterogeneity, hindering precise prognosis. Existing prognostic systems inadequately capture the complexity of elderly AML due to their reliance on data from younger cohorts and omission of key factors like immunophenotypic markers and therapeutic profiles. This study aimed to develop and internally validate a machine learning-based prognostic model specifically tailored to elderly AML patients. METHODS: A total of 156 patients were analyzed using a two-stage modeling strategy. Clinical and genomic variables were modeled first, followed by independent analysis of immunophenotypic features. Feature selection was performed using multilayer perceptron (MLP) and random forest (RF), while multivariate Cox regression was used for final model construction. Internal validation was conducted using 1000 bootstrap iterations to assess model stability and performance. RESULTS: The model demonstrated strong predictive performance, with a concordance index (C-index) of 0.702. Time-dependent area under the curve (AUC) and calibration plots confirmed accurate prediction of 1-, 3-, and 5-year overall survival. Decision curve analysis indicated favorable net benefit across a range of threshold probabilities. Key independent prognostic factors identified included TP53 mutations, high CD13 expression, and IDH2 mutations. CONCLUSION: This model provides a robust and interpretable tool for individualized risk stratification in elderly AML. By integrating genomic, immunophenotypic, and therapeutic variables, it may help optimize treatment decisions and improve outcomes for this vulnerable population. Future efforts should focus on external validation and integration of dynamic biomarkers.

Humans↗

Predicting the risk of mobility difficulty in older women with screening nomograms: the Women's Health and Aging Study II.

BACKGROUND: A major obstacle to screening for early mobility disability (ie, mobility difficulty), a major public health concern, is the lack of a method that identifies those who are at high risk. The goal of this study was to develop easy-to-use clinical nomograms for estimation of the probability of incident mobility difficulty. METHODS: We conducted a population-based prospective study using data from 266 high physically and cognitively functioning older women, aged 70 to 80 years, who were free of mobility disability at the baseline evaluation of the Women's Health and Aging Study II. The outcome measure was incident mobility disability within 18 months, defined as self-reported difficulty walking 0.8 km, climbing 10 steps, or transferring from or into a car or bus. Logistic regression and receiver operating characteristic curve analyses were used for evaluation of the optimal combination of self-reported and performance-based mobility measures. Bootstrap sampling and estimation was used for validation. RESULTS: Predictive nomograms were developed based on a final model that included 3 simple-to-obtain measures of preclinical disability: self-report of modification in mobility tasks without having difficulty with them, one-leg stance balance, and time to walk 1 m at a usual pace. Final model accuracy (as estimated by the area under the receiver operating characteristic curve) was 73% (SE = 0.04). Validation analysis confirmed the high accuracy of these nomograms. CONCLUSIONS: An original tool was developed for assessment of the risk of mobility difficulty in older women that can be used to assist physicians and researchers in deciding which women to target for preventive interventions.

Aged↗

Cost for inpatient care of venous thrombosis: a trial of enoxaparin vs standard heparin.

BACKGROUND: Enoxaparin, a low-molecular-weight heparin administered to hospitalized patients once or twice daily, has shown efficacy and safety equivalent to unfractionated heparin in the treatment of acute venous thromboembolic disease. Although the cost of either enoxaparin regimen is greater than that of unfractionated heparin, the overall cost of care for each of these 3 treatment strategies is unknown. METHODS: A cost minimization analysis of a 3-month, partially blinded, randomized, controlled efficacy and safety trial of anticoagulant therapy for deep vein thrombosis. Three hundred thirty-nine hospitalized patients with symptomatic lower extremity deep vein thrombosis were randomly assigned to initial therapy with subcutaneous enoxaparin either once (n = 112) or twice (n = 123) daily, or with dose-adjusted intravenous unfractionated heparin (n = 104), followed by long-term oral anticoagulant therapy. Estimated 1997 total cost from a third-party payer perspective for the 3-month episode of care was calculated by assigning standard unit costs to counts of medical resources used by each patient in the clinical trial. RESULTS: Average total cost for the 3-month episode of care was similar across all 3 treatment regimens: once-daily dose of enoxaparin, $12,166 (95% confidence interval [CI], $10,744-$13,588); twice-daily dose of enoxaparin, $11,558 (95% CI, $10,201-$12,915); and unfractionated heparin, $12,146 (95% CI, $10,670-$12,622). Bootstrapped estimates and sensitivity analyses did not significantly change findings. CONCLUSIONS: There was no significant difference in the overall cost for the 3-month episode of care for patients treated with either enoxaparin or unfractionated heparin. Additional acquisition costs for anticoagulant medication among patients treated with enoxaparin were offset by savings associated with lower incidence of hospital readmission and shorter duration of venous thromboembolism-related readmissions.

Enoxaparin↗

Prognostic value of combined exercise and recovery electrocardiographic analysis.

BACKGROUND: Heart rate-adjusted ST-segment depression (ST/HR) analysis improves the diagnostic accuracy of exercise testing, but its prognostic value has not been evaluated in unselected populations. We prospectively used comparative exercise-recovery ST/HR analysis to predict outcome in a consecutive cohort of outpatients referred for exercise testing. METHODS: The stress-recovery index, defined as the difference between ST/HR areas during exercise and recovery,was derived in 1163 patients (median age, 60 years; interquartile range, 54-65 years). All-cause mortality and the combination of death or nonfatal myocardial infarction were target end points. The individual effect of clinical and exercise-testing data on outcome was evaluated by Cox regression analysis using separate models for each group of variables. Model validation was performed using bootstrap methods adjusted by the degree of optimism in estimates. Survival analysis was performed with the product-limit Kaplan-Meier method. RESULTS: During a 33-month follow-up, 48 deaths and 72 nonfatal myocardial infarctions occurred. After adjusting for confounding variables, hypertension (hazard ratio, 1.80; 95% confidence interval, 1.26-2.59), ST/HR index (hazard ratio, 1.32; 95% confidence interval, 1.04-1.66; for interquartile difference), and stress-recovery index (hazard ratio, 0.75; 95% confidence interval, 0.65-0.86; for interquartile difference) were predictive of death or nonfatal myocardial infarction, whereas hypertension (hazard ratio, 3.67; 95% confidence interval, 2.00-6.73) and stress-recovery index (hazard ratio, 0.55; 95% confidence interval, 0.48-0.63; for interquartile difference) were predictive of all-cause mortality. In addition, stress-recovery index increased the prognostic power of the model on top of clinical and exercise-testing variables and provided significant discrimination for survival. CONCLUSION: Combined evaluation of ST/HR analysis during exercise and recovery improves the prognostic capacity of standard exercise electrocardiography.

Aged↗

Cost-effectiveness of B-type natriuretic peptide testing in patients with acute dyspnea.

BACKGROUND: B-type natriuretic peptide (BNP) is a quantitative marker of heart failure that seems to be helpful in its diagnosis. METHODS: We performed a prospective randomized study (B-Type Natriuretic Peptide for Acute Shortness of Breath Evaluation) including 452 patients who presented to the emergency department with acute dyspnea to estimate the long-term cost-effectiveness of BNP guidance. Participants were randomly assigned to a diagnostic strategy involving the measurement of BNP levels (n = 225) or assessment in a standard manner (n = 227). Nonparametric bootstrapping was used to estimate the distribution of incremental costs and effects on the cost-effectiveness plane during 180 days of follow-up. RESULTS: Testing of BNP induced several important changes in management of dyspnea, including a reduction in the initial hospital admission rate, the use of intensive care, and total days in the hospital at 180 days (median, 10 days [interquartile range, 2-24 days] in the BNP group vs 14 days [interquartile range, 6-27 days] in the control group; P = .005). At 180 days, all-cause mortality was 20% in the BNP group and 23% in the control group (P = .42). Total treatment cost was significantly reduced in the BNP group (7930 dollars vs 10,503 dollars in the control group; P = .004). Analysis of incremental 180-day cost-effectiveness showed that BNP guidance resulted in lower mortality and lower cost in 80.6%, in higher mortality and lower cost in 19.3%, and in higher or lower mortality and higher cost in less than 0.1% each. Results were robust to changes in most variables but sensitive to changes in rehospitalization with BNP guidance. CONCLUSION: Testing of BNP is cost-effective in patients with acute dyspnea.

Acute Disease↗

Development of pediatric comorbidity prediction model.

OBJECTIVE: To develop a comorbidity model for children that can be used with hospital discharge administrative databases. DESIGN: Retrospective study using administrative data obtained from the Canadian Institute for Health Information Discharge Abstract Database and the Deaths File to develop a logistic regression model. Hosmer-Lemeshow chi2 test was used to examine model fit. The C statistic was used to assess model discrimination. Bootstrapping was used to determine the stability of regression coefficients. SETTING: We used linked administrative databases to compile 339,077 hospital discharge abstracts from April 1, 1991, through March 31, 2002. PARTICIPANTS: Children between ages 1 and 14 years in Ontario, Canada. MAIN OUTCOME MEASURE: Death within 1 year of hospital discharge. RESULTS: The 27-variable pediatric comorbidity model predicted 1-year mortality with a C statistic of 0.83 in the Ontario data set from which it was derived. The presence of brain cancer (odds ratio, 76.38 [95% confidence interval, 53.40-109.27]) at hospital admission was the strongest predictor, followed by diabetes insipidus (odds ratio, 39.23 [95% confidence interval, 20.75-74.17]). CONCLUSION: Using clinical judgment and empirical modeling strategies, we were able to identify 27 diagnoses highly predictive of death for children between 1 and 14 years of age within 1 year of hospital discharge.

Adolescent↗

Cost-effectiveness and cost offset of a collaborative care intervention for primary care patients with panic disorder.

BACKGROUND: A collaborative care (CC) intervention for patients with panic disorder that provided increased patient education and integrated a psychiatrist into primary care was associated with improved symptomatic and functional outcomes. This report evaluates the incremental cost-effectiveness and potential cost offset of a CC treatment program for primary care patients with panic disorder from the perspective of the payer. METHODS: We randomly assigned 115 primary care patients with panic disorder to a CC intervention that included systematic patient education and approximately 2 visits with an on-site consulting psychiatrist, compared with usual primary care. Telephone assessments of clinical outcomes were performed at 3, 6, 9, and 12 months. Use of health care services and costs were assessed using administrative data from the primary care clinics and self-report data. RESULTS: Patients receiving CC experienced a mean of 74.2 more anxiety-free days during the 12-month intervention (95% confidence interval [CI], 15.8-122.0). The incremental mental health cost of the CC intervention was $205 (95% CI, -$135 to $501), with the additional mental health costs of the intervention explained by expenditures for antidepressant medication and outpatient mental health visits. Total outpatient cost was $325 (95% CI, -$1460 to $448) less for the CC than for the usual care group. The incremental cost-effectiveness ratio for total ambulatory cost was -$4 (95% CI, -$23 to $14) per anxiety-free day. Results of a bootstrap analysis suggested a 0.70 probability that the CC intervention was dominant (eg, lower costs and greater effectiveness). CONCLUSION: A CC intervention for patients with panic disorder was associated with significantly more anxiety-free days, no significant differences in total outpatient costs, and a distribution of the cost-effectiveness ratio based on total outpatient costs that suggests a 70% probability that the intervention was dominant, compared with usual care.

Adult↗

Cost-effectiveness of improving primary care treatment of late-life depression.

CONTEXT: Depression is a leading cause of functional impairment in elderly individuals and is associated with high medical costs, but there are large gaps in quality of treatment in primary care. OBJECTIVE: To determine the incremental cost-effectiveness of the Improving Mood Promoting Access to Collaborative Treatment (IMPACT) collaborative care management program for late-life depression. DESIGN: Randomized controlled trial with recruitment from July 1999 to August 2001. SETTING: Eighteen primary care clinics from 8 health care organizations in 5 states. PARTICIPANTS: A total of 1801 patients 60 years or older with major depression (17%), dysthymic disorder (30%), or both (53%). INTERVENTION: Patients were randomly assigned to the IMPACT intervention (n = 906) or to usual primary care (n = 895). Intervention patients were provided access to a depression care manager supervised by a psychiatrist and primary care physician. Depression care managers offered education, support of antidepressant medications prescribed in primary care, and problem-solving treatment in primary care (a brief psychotherapy). MAIN OUTCOME MEASURES: Total outpatient costs, depression-free days, and quality-adjusted life-years. RESULTS: Relative to usual care, intervention patients experienced 107 (95% confidence interval [CI], 86 to 128) more depression-free days over 24 months. Total outpatient costs were USD $295 (95% CI, -$525 to $1115) higher during this period. The incremental outpatient cost per depression-free day was USD $2.76 (95% CI, -$4.95 to $10.47) and incremental outpatient costs per quality-adjusted life-year ranged from USD $2519 (95% CI, -$4517 to $9554) to USD $5037 (95% CI, -$9034 to $19 108). Results of a bootstrap analysis suggested a 25% probability that the IMPACT intervention was "dominant" (ie, lower costs and greater effectiveness). CONCLUSIONS: The IMPACT intervention is a high-value investment for older adults; it is associated with high clinical benefits at a low increment in health care costs.

Age Factors↗

Cranial variation in the Iberian Peninsula and the Balearic Islands: inferences about the history of the population.

A multivariate analysis of four prehistoric and nine historic populations from the Iberian Peninsula and Balearic Islands with large sample sizes (n > 30 individuals for the neurocranium and n > 15 for the facial skeleton) is presented, considering 874 male and 557 female skulls and using 20 craniometric measurements. Cluster analyses have been undertaken using the squared Euclidean distance as a measure of proximity and the average linkage between groups (UPGMA), and neighbor-joining algorithms as a branching method, and a bootstrap analysis was used to assess the robustness of the clustering topology. The study was complemented with a principal coordinate analysis and with the application of the Mantel test to measure the degree of correspondence between the information furnished by the female and the male samples. The analyses show that the main source of morphometric variability in the Iberian Peninsula is the Basque population. The second source of variation is provided by two populations (Muslims and Jews), different from the rest from an archaeological and cultural point of view, and can probably be attributed to influences from sub-Saharan Africa. The massive deportations of the Jews in 1492 and of the Moors between the 15th and 17th centuries may have erased this source of variability from the present population of the Iberian Peninsula. The remaining studied populations, including samples from Castile, Cantabria, Andalusia, Catalonia and Balearic Islands, are grouped together, showing a notable morphological homogeneity, despite their temporal and geographic heterogeneity. These results are in general agreement with those obtained in synthetic maps, by analyzing multiple genetic markers. In such studies, the Basque population is described as the main source of genetic variability, not only in the Iberian Peninsula, but also in Western Europe.

Algorithms↗

Intrapopulational body size variation and cranial capacity variation in Middle Pleistocene humans: the Sima de los Huesos sample (Sierra de Atapuerca, Spain).

A sexual dimorphism more marked than in living humans has been claimed for European Middle Pleistocene humans, Neandertals and prehistoric modern humans. In this paper, body size and cranial capacity variation are studied in the Sima de los Huesos Middle Pleistocene sample. This is the largest sample of non-modern humans found to date from one single site, and with all skeletal elements represented. Since the techniques available to estimate the degree of sexual dimorphism in small palaeontological samples are all unsatisfactory, we have used the bootstraping method to asses the magnitude of the variation in the Sima de los Huesos sample compared to modern human intrapopulational variation. We analyze size variation without attempting to sex the specimens a priori. Anatomical regions investigated are scapular glenoid fossa; acetabulum; humeral proximal and distal epiphyses; ulnar proximal epiphysis; radial neck; proximal femur; humeral, femoral, ulnar and tibial shaft; lumbosacral joint; patella; calcaneum; and talar trochlea. In the Sima de los Huesos sample only the humeral midshaft perimeter shows an unusual high variation (only when it is expressed by the maximum ratio, not by the coefficient of variation). In spite of that the cranial capacity range at Sima de los Huesos almost spans the rest of the European and African Middle Pleistocene range. The maximum ratio is in the central part of the distribution of modern human samples. Thus, the hypothesis of a greater sexual dimorphism in Middle Pleistocene populations than in modern populations is not supported by either cranial or postcranial evidence from Sima de los Huesos.

Adult↗

Sexual dimorphism in the face of Australopithecus africanus.

Recently discovered crania of Australopithecus africanus from Sterkfontein Member 4 and Makapansgat enlarge the size range of the species and encourage a reappraisal of both the degree and pattern of sexual dimorphism. Resampling methodology (bootstrapping) is used here to establish that A. africanus has a greater craniofacial size range than chimpanzees or modern humans, a range which is best attributed to a moderately high degree of sexual dimorphism. Compared to other fossil hominins, this variation is similar to that of Homo habilis (sensu lato) but less than that of A. boisei. The finding of moderately high dimorphism is corroborated by a CV-based estimate and ratios between those specimens considered to be male and those considered to be female. Inferences about the pattern of craniofacial dimorphism in the A. africanus face currently rely on the relationship of morphology and size. Larger specimens, particularly Stw 505, show prominent superciliary eminences and glabellar regions, but in features related in part to canine size, such as the curvature of the infraorbital surface, large and small specimens of A. africanus are similar. In this respect, the pattern resembles that of modern humans more so than chimpanzees or lowland gorillas. A. africanus may also show novel patterns of sexual dimorphism when compared to extant hominines, such as in the form of the anterior pillar. However, males of the species do not exhibit characteristics of more derived hominins, such as A. robustus.

Animals↗

Testing for multiple species in fossil samples: an evaluation and comparison of tests for equal relative variation.

Tests for equal relative variation are valuable and frequently used tools for evaluating hypotheses about taxonomic heterogeneity in fossil hominids. In this study, Monte Carlo methods and simulated data are used to evaluate and compare 11 tests for equal relative variation. The tests evaluated include CV-based parametric bootstrap tests, modifications of Levene's test, and modified weighted scores tests. The results of these simulations show that a modified version of the weighted scores test developed by Fligner and Killeen ([1976] J. Am. Stat. Assoc. 71:210-213) is the only test that maintains an acceptable balance of type I and type II errors, even under conditions where all other tests have extraordinarily high type I error rates or little power.

Animals↗