Biomaterial Database

A model for handling missing items on two depression rating scales. 2001

T Gale, and C Hawley

Department of Psychiatry, QEII Hospital, Welwyn Garden City, UK. t.gale@herts.ac.uk

A problem in clinical trials for antidepressants is that patient rating scales are not always completed properly. If one or more items are missing, a patient evaluation may be prevented from contributing towards an efficacy analysis. This can be very wasteful, particularly if data are missing at a baseline evaluation. In this study, we present a novel approach to estimating missing item scores on both the Montgomery-Asberg Depression Rating Scale and the Beck Depression Inventory. Our approach works on the assumption that patient response is non-uniform across items. By capturing the average between-item variation, we have developed a set of weights for each scale which can be used to predict missing item scores with high levels of accuracy. These weights were tested on several sets of patient data when one item was missing. The proposed weights are stable and will be of practical use to researchers in the field of Major Depression.

UI	MeSH Term	Description	Entries
D010555	Personality Inventory	Check list, usually to be filled out by a person about himself, consisting of many statements about personal characteristics which the subject checks.	Edwards Personal Preference Schedule,Myers-Briggs Type Indicator,Indicator, Myers-Briggs Type,Inventories, Personality,Inventory, Personality,Myers Briggs Type Indicator,Personality Inventories
D011594	Psychometrics	Assessment of psychological variables by the application of mathematical procedures.	Psychometric
D002986	Clinical Trials as Topic	Works about pre-planned studies of the safety, efficacy, or optimum dosage schedule (if appropriate) of one or more diagnostic, therapeutic, or prophylactic drugs, devices, or techniques selected according to predetermined criteria of eligibility and observed for predefined evidence of favorable and unfavorable effects. This concept includes clinical trials conducted both in the U.S. and in other countries.	Clinical Trial as Topic
D003866	Depressive Disorder	An affective disorder manifested by either a dysphoric mood or loss of interest or pleasure in usual activities. The mood disturbance is prominent and relatively persistent.	Depression, Endogenous,Depression, Neurotic,Depression, Unipolar,Depressive Syndrome,Melancholia,Neurosis, Depressive,Unipolar Depression,Depressions, Endogenous,Depressions, Neurotic,Depressions, Unipolar,Depressive Disorders,Depressive Neuroses,Depressive Neurosis,Depressive Syndromes,Disorder, Depressive,Disorders, Depressive,Endogenous Depression,Endogenous Depressions,Melancholias,Neuroses, Depressive,Neurotic Depression,Neurotic Depressions,Syndrome, Depressive,Syndromes, Depressive,Unipolar Depressions
D006801	Humans	Members of the species Homo sapiens.	Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000928	Antidepressive Agents	Mood-stimulating drugs used primarily in the treatment of affective disorders and related conditions. Several MONOAMINE OXIDASE INHIBITORS are useful as antidepressants apparently as a long-term consequence of their modulation of catecholamine levels. The tricyclic compounds useful as antidepressive agents (ANTIDEPRESSIVE AGENTS, TRICYCLIC) also appear to act through brain catecholamine systems. A third group (ANTIDEPRESSIVE AGENTS, SECOND-GENERATION) is a diverse group of drugs including some that act specifically on serotonergic systems.	Antidepressant,Antidepressant Drug,Antidepressant Medication,Antidepressants,Antidepressive Agent,Thymoanaleptic,Thymoanaleptics,Thymoleptic,Thymoleptics,Antidepressant Drugs,Agent, Antidepressive,Drug, Antidepressant,Medication, Antidepressant
D015233	Models, Statistical	Statistical formulations or analyses which, when applied to data and found to fit the data, are then used to verify the assumptions and parameters used in the analysis. Examples of statistical models are the linear model, binomial model, polynomial model, two-parameter model, etc.	Probabilistic Models,Statistical Models,Two-Parameter Models,Model, Statistical,Models, Binomial,Models, Polynomial,Statistical Model,Binomial Model,Binomial Models,Model, Binomial,Model, Polynomial,Model, Probabilistic,Model, Two-Parameter,Models, Probabilistic,Models, Two-Parameter,Polynomial Model,Polynomial Models,Probabilistic Model,Two Parameter Models,Two-Parameter Model
D015982	Bias	Any deviation of results or inferences from the truth, or processes leading to such deviation. Bias can result from several sources: one-sided or systematic variations in measurement from the true value (systematic error); flaws in study design; deviation of inferences, interpretations, or analyses based on flawed data or data collection; etc. There is no sense of prejudice or subjectivity implied in the assessment of bias under these conditions.	Aggregation Bias,Bias, Aggregation,Bias, Ecological,Bias, Statistical,Bias, Systematic,Ecological Bias,Outcome Measurement Errors,Statistical Bias,Systematic Bias,Bias, Epidemiologic,Biases,Biases, Ecological,Biases, Statistical,Ecological Biases,Ecological Fallacies,Ecological Fallacy,Epidemiologic Biases,Experimental Bias,Fallacies, Ecological,Fallacy, Ecological,Scientific Bias,Statistical Biases,Truncation Bias,Truncation Biases,Bias, Experimental,Bias, Scientific,Bias, Truncation,Biase, Epidemiologic,Biases, Epidemiologic,Biases, Truncation,Epidemiologic Biase,Error, Outcome Measurement,Errors, Outcome Measurement,Outcome Measurement Error
D016896	Treatment Outcome	Evaluation undertaken to assess the results or consequences of management and procedures used in combating disease in order to determine the efficacy, effectiveness, safety, and practicability of these interventions in individual cases or series.	Rehabilitation Outcome,Treatment Effectiveness,Clinical Effectiveness,Clinical Efficacy,Patient-Relevant Outcome,Treatment Efficacy,Effectiveness, Clinical,Effectiveness, Treatment,Efficacy, Clinical,Efficacy, Treatment,Outcome, Patient-Relevant,Outcome, Rehabilitation,Outcome, Treatment,Outcomes, Patient-Relevant,Patient Relevant Outcome,Patient-Relevant Outcomes