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PubMed1993

MULCOX2: a general computer program for the Cox regression analysis of multivariate failure time data.

Multivariate failure time data is commonly encountered in biomedicine, because each study subject may experience multiple events or because there exists clustering of subjects such that failure times within the same cluster are correlated. MULCOX2 implements a general statistical methodology for analyzing such data. This approach formulates the marginal distributions of multivariate failure times by Cox proportional hazards models without specifying the nature of dependence among related failure times. The baseline hazard functions for the marginal models may be identical or different. A variety of statistical inference can be made regarding the effects of (possibly time-dependent) covariates on the failure rates. Although designed primarily for the marginal approach, MULCOX2 is general enough to implement several alternative methods. The program runs on any computer with a FORTRAN compiler. The running time is minimal. Two illustrative examples are provided.

Age Factors↗
PubMed1979

Molecular weights from approach-to-sedimentation equilibrium data using nonlinear regression analysis.

Data obtained from early times during the transient period of sedimentation equilibrium experiments are analyzed using an approximate solution to the Lamm equation to estimate s/D. The Cr versus r data obtained at several times during approach-to-equilibrium are analyzed using a nonlinear least squares algorithm and Fujita's approximate solution. This procedure was tested using D-Ser13-somatostatin, ribonuclease, and ovalbumin. The results obtained demonstrate that for monodisperse samples s/D may be rapidly and reliably estimated using this method.

Journal Article↗
PubMed2006

Embryonic synergism may reduce pregnancy loss: a multivariate regression analysis.

OBJECTIVE: To evaluate clinical and assisted reproductive technology (ART) cycle variables related to spontaneous embryo reduction. DESIGN: Observational retrospective cohort study. SETTING: Private ART center. PATIENT(S): A total of 3,467 patients achieving a first-trimester pregnancy after IVF. INTERVENTION(S): None. MAIN OUTCOME MEASURE(S): Rate of any spontaneous embryo reduction and rate of spontaneous single embryo reduction. RESULT(S): Adjusting for all analyzed variables, only initial gestational sac count, age, and body mass index were associated with the spontaneous embryo reduction rate. Twins had a lower chance of having a spontaneous embryo reduction than singletons (odds ratio 0.6, 95% confidence interval 0.50-0.79). When only spontaneous single embryo reduction was assessed, women with two or three initial gestational sacs were less prone to have a spontaneous single embryo reduction than women with one initial gestational sac. CONCLUSION(S): When spontaneous embryo reduction and spontaneous single embryo reduction were evaluated independently of other clinical and ART cycle variables, they were less frequent in twin pregnancies than in singleton pregnancies. This suggests a role for embryonic synergism in sustaining implantation.

Abortion, Spontaneous↗