PEDIATRIC PAIN, PREDICTIVE INFERENCE, AND SENSITIVITY ANALYSIS

被引:7
作者
WEISS, R [1 ]
机构
[1] UNIV MINNESOTA,SCH STAT,MINNEAPOLIS,MN 55455
关键词
D O I
10.1177/0193841X9401800601
中图分类号
C [社会科学总论];
学科分类号
03 ; 0303 ;
摘要
The understanding, prevention, and treatment of pain is of great importance to medical science. Children were asked to immerse their hands in cold water until they were unable to tolerate the pain of the cold. The length of time that they kept their hands immersed is a measure of pain tolerance. Two factors were studied. One factor is a child's Coping Style (CS) with the pain (attenders pay attention to the pain, distracters think of other things), and it was assessed at a baseline trial. The other factor is Treatment (TMT), one of three counseling interventions (a null intervention, counseling to attend, or counseling to distract), and was randomly applied prior to the response. The covariate is a baseline measure of pain tolerance prior to the intervention. Distracters, taught to distract, tolerated the pain much better than any other group. No strategy improved attenders' pain tolerance. This article analyzes this data from a predictive Bayesian viewpoint. The assumption of constant variance is not met on the original scale, and some of the data is censored; furthermore, the censoring model is unknown. Simultaneous transformation of the response and baseline is used to search for a scale where the variance is constant. Predictive inference is used to provide interpretable inferences. A sensitivity analysis is used to determine whether the treatment of the censored data matters. Without the sensitivity analysis, we are left wondering whether the conclusions rest on a true underlying treatment effect or on cases of questionable quality. In spite of a devil's-advocate effort to produce an alternative model which leads to contradictory conclusions, no such model was found.
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页码:651 / 677
页数:27
相关论文
共 29 条
[1]   AN ANALYSIS OF TRANSFORMATIONS REVISITED [J].
BICKEL, PJ ;
DOKSUM, KA .
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 1981, 76 (374) :296-311
[2]  
Box G. E. P., 1973, BAYESIAN INFERENCE S
[3]   TRANSFORMATION OF INDEPENDENT VARIABLES [J].
BOX, GEP ;
TIDWELL, PW .
TECHNOMETRICS, 1962, 4 (04) :531-&
[4]   AN ANALYSIS OF TRANSFORMATIONS REVISITED, REBUTTED [J].
BOX, GEP ;
COX, DR .
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 1982, 77 (377) :209-210
[5]  
BOX GEP, 1980, J ROY STAT SOC B MET, V143, P425
[6]  
Carlin B.P., 1992, BAYESIAN STAT, V4, P577
[7]   AN EXPECTED UTILITY APPROACH TO INFLUENCE DIAGNOSTICS [J].
CARLIN, BP ;
POLSON, NG .
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 1991, 86 (416) :1013-1021
[8]  
CARROLL RJ, 1981, BIOMETRIKA, V68, P609, DOI 10.1093/biomet/68.3.609
[9]   THE RELATIONSHIP BETWEEN CHILDRENS COPING STYLES AND PSYCHOLOGICAL INTERVENTIONS FOR COLD PRESSOR PAIN [J].
FANURIK, D ;
ZELTZER, LK ;
ROBERTS, MC ;
BLOUNT, RL .
PAIN, 1993, 53 (02) :213-222
[10]   PREDICTIVE DISCORDANCY TESTS FOR EXPONENTIAL OBSERVATIONS [J].
GEISSER, S .
CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE, 1989, 17 (01) :19-26