STATISTICAL METHODS FOR MENTAL HEALTH PREVENTIVE TRIALS

  • Brown, Charles H., (PI)

Project: Research project

Description

This proposal is aimed at developing new statistical methodology for
evaluating preventive intervention trials in the mental health field. The
existing methods for analysis of such longitudinal and developmental data
from preventive trials implicitly depend on simplified assumptions about
the ways individuals are assigned to intervention, the manner in which
interventions are implemented, the stochastic nature of the outcome data,
and reasons for data being missing. Even the most carefully designed
preventive studies depart from these and other related assumptions, and
these departures if ignored may lead to substantially incorrect conclusions
about the effects of a prevention program. The consequences may be quite
severe -- we may detect an apparent effect when it does not exist or we may
fail to detect a meaningful effect. This proposal aims at reducing the
possibilities of either type of error by developing new methods which take
into account possible departures from these usual assumptions. The specific aims of this proposal focus on major unresolved and generic
issues in prevention research: how to make adjustments for nonrandom
assignment to interventions, how to analyze nonrandomly missing data, how
to make valid inferences about intervention effects on longitudinal data
when we know little about the stochastic characteristics of the process,
and how to examine the effectiveness of screening programs which in and of
themselves may affect the outcomes of preventive trials. These new statistical methods will be tested against the classical
experimental design methods using a variety of current and practical
problems in prevention research. Three longitudinal data sets -- two with
data now available and the third involving trials now developing -- will be
used to test our methods on preventive interventions aimed at promoting
mental health of children through school interventions. We will also
examine the application of these methods to problems in adult mental
disorders, especially in schizophrenia research. Recommendations for
analytical methods coming out of this study should have wide applicability
to prevention research because of the genetic matire of the prevention
trial problems which are examined in this proposal. This proposal will involve close collaboration between biostatisticians and
discipline oriented researchers in the mental health field over fundamental
problems in prevention research. In the first three years of this grant we
will be focusing on essential prevention problems, framing these problems
in statistical terms, developing a broad statistical foundation for making
inferences about preventive trials, and testing these new methods on two
prevention data sets. In the fourth and fifth years we will continue
further development of new analytic methods and test them on two state of
the art preventive trials now being implemented.
StatusFinished
Effective start/end date2/1/863/31/16

Funding

  • National Institutes of Health
  • National Institutes of Health: $96,150.00
  • National Institutes of Health
  • National Institutes of Health: $420,580.00
  • National Institutes of Health
  • National Institutes of Health: $614,079.00
  • National Institutes of Health: $535,019.00
  • National Institutes of Health: $402,126.00
  • National Institutes of Health: $256,899.00
  • National Institutes of Health: $542,687.00
  • National Institutes of Health: $30,000.00
  • National Institutes of Health: $671,567.00
  • National Institutes of Health
  • National Institutes of Health: $120,532.00
  • National Institutes of Health: $424,905.00
  • National Institutes of Health: $499,532.00
  • National Institutes of Health: $505,752.00
  • National Institutes of Health
  • National Institutes of Health: $93,391.00
  • National Institutes of Health
  • National Institutes of Health: $509,638.00
  • National Institutes of Health: $500,054.00
  • National Institutes of Health: $264,227.00
  • National Institutes of Health: $513,321.00
  • National Institutes of Health
  • National Institutes of Health: $542,563.00
  • National Institutes of Health
  • National Institutes of Health: $603,660.00
  • National Institutes of Health

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Mental Health
mental health
Depression
social learning
Substance-Related Disorders
Pharmaceutical Preparations
Research
science
Conduct Disorder
methodology
mental disorder
drug abuse
Mental Disorders
Information Dissemination
Schizophrenia
Alcoholism
Cognitive Therapy
abuse
Advisory Committees
Group

ASJC

  • Medicine(all)