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Biomedical subjects

G A Lienert

Publications and source records attributed to G A Lienert.

At least 19 recordsLinked to original sources
PubMed1991

[Syndrome combinations as meta-syndromes in configuration frequency analysis].

The paper defines metasyndromes as syndrome combinations. Within the framework of Configural Frequency Analysis the authors propose using a single test for identifying patterns of syndromes rather than applying simultaneous tests for identifying singular syndromes. The authors describe and illustrate the method using the "classical data" that describe symptom patterns under LSD (Lienert, 1971). The rationale of the new procedure is to combine independent tests as was proposed by Wartmann and Wette (1952) as a means for meta analysis.

Affect↗
PubMed1990

[2 sample configuration frequency analysis: solitary and complementary discriminant types of treatment and control groups].

The paper entitled "Two-sample CFA: Solitary and complementary discriminant types of treatment- and control groups" suggests to modify 2-sample and c-sample CFA as follows: While singular patterns of attributes define solitary types, complementary pairs of patterns define complementary types which may be interpreted as poles of a type-defining factor in factor analysis. The new version of 2-sample CFA is illustrated in 2 examples from clinical psychology with patterns of scales and symptoms.

Depressive Disorder↗
PubMed1989

[Configuration cluster analysis as an alternative to configuration frequency analysis].

The paper discusses configural cluster analysis (CCA) as an alternative to configural frequency analysis (CFA). CFA defines types as deviations from the assumption of no interactions among the variables. CCA defines clusters as deviations from the stronger assumption of a total lack of effects, in the contingency table. Variations of CCA as aggregating CCA, hierarchical CCA, m-sample CCA, and CCA of profile shifts are discussed. An example analyzes data from research on depression.

Cluster Analysis↗
PubMed1989

[The configuration frequency analysis. Victor's singular types and syndromes].

A new concept on configural frequency analysis (CFA) is presented under the title: CFA, Victor's singular types and syndromes. The new concept is suitable and highly effective if one and only one type, a singular type, is present within a population of subjects or patients. It is based on the nullhypothesis of quasi-independence which assumes that a type-population with coincident variables is superimposed to a residual population with independent variables. The singular type CFA is illustrated by a set of data where a subgroup of dyslexics is mixed up with a residual group of non-dyslexics who have been evaluated as to reading, vocabulary and spelling. The resulting type, not to be identified by classical CFA, was shown to be singular and clear-cut with weakness in all 3 verbal tests. The importance of singular types and syndromes for psychopathology is discussed clinically and theoretically.

Analysis of Variance↗
PubMed1988

[Syndrome assessment using a generalized interaction structure analysis].

The concept of conventional interaction-structure-analysis (ISA) consists of comparing and analyzing two groups of variables. In the present paper this concept is thus generalized that more than two groups of variables can be analyzed. Data from depression research are analyzed by forming three groups of symptoms. The discussion expounds on strategies of data analysis with generalized ISA (GISA).

Attitude to Death↗
PubMed1987

[Configuration frequency analysis. XXIII. Types and syndromes of a higher order].

Configural Frequency analysis (CFA) is a method for the detection of significantly high or low frequencies in multivariate contingency tables. As a criterion for the comparisons. CFA uses expected frequencies from log-linear models which reflect assumptions on the association structure of the variables under study. The present paper extends models of CFA such that triplet associations or even higher order associations can be considered. Examples use empirical data from research on depression in children. Results show the existence of higher order types.

Child↗
PubMed1987

[Use of the Küchenhoff continuity correction of the Lehmacher CFA test in search of types of sociogenic behavior disorders].

To avoid anticonservative rejections of CFA null hypotheses when using Lehmacher's test Küchenhoff suggested to apply a continuity correction. This correction reduces the differences between observed and expected cell frequencies by a constant. The present paper discusses this variant of Lehmacher's test. Application of the correction for continuity in the search for types of sociogene neuropathology are presented. The discussion covers the effectivity of CFA tests in connection with Holm's method of alpha adjustment.

Child↗
PubMed1985

Longisectional interaction structure analysis (LISA) in psychopharmacology and developmental psychopathology.

Longisectional interaction structure analysis (LISA) is a method for evaluating multivariate observations in a sample of individuals (patients) at two or more than two subsequent times (stages). It combines cross-sectional configural frequency analysis (CFA) for defining interactions between variables at a given stage with longitudinal interaction structure analysis (ISA) in relating variables observed at two subsequent stages, nonparametrically. The interactions are identified locally as types rather than globally as contingencies, where types are defined as (cross-sectional or longitudinal) patterns occurring in more individuals than expected under H0 of no (cross-sectional or longitudinal) interaction. LISA is applied to data sets from a clinical follow-up study and from a longitudinal study within developmental psychology. It is shown to be a useful technique for the interpretation of such data.

Adolescent↗
PubMed1979

[Clinico-physiological sleep- and hangover-spectra from pentobarbital, promazin and their combination, as reflected by self-ratings of young and elderly subjects (author's transl)].

A sample of 8 young and 8 elderly subjects was examined in a 2x2x2 factorial design, whether and how promazine interacts with pentobarbital as a hypnotic agent. Analyses of self-reports led to the following conclusions: 1. Young subjects and not experience any significant effects from either the single components (pentobarbital, promazine) and/or their combination. 2. Elderly subjects experienced positive effects in sleep and hangover parameters under the single components as well as under the combination. Consequences for research in clincal psychopharmacology are discussed.

Adult↗
PubMed1979

[Configural frequency analysis. X. Therapy outcome assessment using prediction configural frequency analysis].

Starting from falsely equal and falsely unequal rates of successive psychotherapies, the prediction configural frequency analysis is introduced for evaluating psychotherapeutic effects by stratifying patients. As stratificator variables, intelligence quotients and sex of patients are used paradigmatically to predict strata-specific therapeutic effects and to compare different therapies conclusively even if patients cannot be assigned randomly to therapies. Prediction types of success are defined by those stratification patterns which favour therapeutic success.

Behavior Therapy↗
PubMed1979

[Voluntary description of drug effects as a method in clinical trials. Presented using the example of pentobarbital, promazine and their combination].

Free description of drug effects is suggested as a method in which subjects or patients describe spontaneously the effects of psychotropic drugs from their own experience with their own verbal concepts. The method is exposed in detail and examplified by examination of pentobarbitone, promazine and their combination (Norkotral). The results of the free description method have psychological as well as psychopharmacological plausibility. It is suggested to implement the method as a new means of clinical research in psychopharmacology.

Clinical Trials as Topic↗
PubMed1979

The effects of alcohol and caffeine on concentration test performance.

Within a 2 x 2 x 2 factorial design using two treatment factors, alcohol vs. placebo and caffeine vs. placebo, with stratification for sex as a non-treatment factor in 2 x 2 x 2 groups of 7 students each, concentration test performance was measured by an arithmetic test. The interesting result was a second-order interaction between the three factors: alcohol as well as caffeine decreased concentration in males; combined treatment performance was interpreted synergistically. For females, alcohol as well as caffeine increased concentration while the combination of both had an antagonistic effect.

Adult↗
PubMed1978

[Comparison of k therapies after determination of success and failure].

To compare k therapeutic methods, N patients are suggested to be assigned to k therapies at random. The effect of each therapy is rated to be present or absent. The resulting k x 2 contingency table is evaluated according to one of the following questions: 1) Do the k therapies differ in their effects? 2) Is a given therapy more effective than the k-1 remaining therapies? 3) Is a given therapy more effective than a competitive therapy? The methods are exemplified by a numerical example from treatments of schizophrenics.

Adolescent↗