Median treatment effect in randomized trials

Myoung Jae Lee

doi:10.1111/1467-9868.00253

Median treatment effect in randomized trials

Myoung Jae Lee

Research output: Journal Publication › Article › peer-review

20 Citations (Scopus)

Abstract

For two response variables y_t and y_c corresponding to two treatments (or two policies) T and C, we wish to learn about quantiles of y₁ - y_c from the marginal quantiles of y_t and y_c; only one of y_t and y_c is observed for an individual. We find that, in general, this is difficult for quantiles other than the median unless strong assumptions are imposed on how y_t is related to y_c. For the median, we present conditions under which the sign of the median treatment effect is identified.

Original language	English
Pages (from-to)	595-604
Number of pages	10
Journal	Journal of the Royal Statistical Society. Series B: Statistical Methodology
Volume	62
Issue number	3
DOIs	https://doi.org/10.1111/1467-9868.00253
Publication status	Published - 2000
Externally published	Yes

Keywords

Exchangeability
Median
Treatment effect

ASJC Scopus subject areas

Statistics and Probability
Statistics, Probability and Uncertainty

Access to Document

10.1111/1467-9868.00253

Cite this

@article{52975f4f4bde4989aab7f37a92f11cb4,

title = "Median treatment effect in randomized trials",

abstract = "For two response variables yt and yc corresponding to two treatments (or two policies) T and C, we wish to learn about quantiles of y1 - yc from the marginal quantiles of yt and yc; only one of yt and yc is observed for an individual. We find that, in general, this is difficult for quantiles other than the median unless strong assumptions are imposed on how yt is related to yc. For the median, we present conditions under which the sign of the median treatment effect is identified.",

keywords = "Exchangeability, Median, Treatment effect",

author = "Lee, {Myoung Jae}",

year = "2000",

doi = "10.1111/1467-9868.00253",

language = "English",

volume = "62",

pages = "595--604",

journal = "Journal of the Royal Statistical Society. Series B: Statistical Methodology",

issn = "1369-7412",

publisher = "Oxford University Press",

number = "3",

}

TY - JOUR

T1 - Median treatment effect in randomized trials

AU - Lee, Myoung Jae

PY - 2000

Y1 - 2000

N2 - For two response variables yt and yc corresponding to two treatments (or two policies) T and C, we wish to learn about quantiles of y1 - yc from the marginal quantiles of yt and yc; only one of yt and yc is observed for an individual. We find that, in general, this is difficult for quantiles other than the median unless strong assumptions are imposed on how yt is related to yc. For the median, we present conditions under which the sign of the median treatment effect is identified.

AB - For two response variables yt and yc corresponding to two treatments (or two policies) T and C, we wish to learn about quantiles of y1 - yc from the marginal quantiles of yt and yc; only one of yt and yc is observed for an individual. We find that, in general, this is difficult for quantiles other than the median unless strong assumptions are imposed on how yt is related to yc. For the median, we present conditions under which the sign of the median treatment effect is identified.

KW - Exchangeability

KW - Median

KW - Treatment effect

UR - http://www.scopus.com/inward/record.url?scp=0034366285&partnerID=8YFLogxK

U2 - 10.1111/1467-9868.00253

DO - 10.1111/1467-9868.00253

M3 - Article

AN - SCOPUS:0034366285

SN - 1369-7412

VL - 62

SP - 595

EP - 604

JO - Journal of the Royal Statistical Society. Series B: Statistical Methodology

JF - Journal of the Royal Statistical Society. Series B: Statistical Methodology

IS - 3

ER -

Median treatment effect in randomized trials

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this