Geri Dön

The performance of propensity score methods to estimate the average treatment effect in observational studies with selection bias: A Monte Carlo simulation study

Başlık çevirisi mevcut değil.

  1. Tez No: 402401
  2. Yazar: SUNGUR GÜREL
  3. Danışmanlar: DR. WALTER LEITE, DR. JAMES ALGINA
  4. Tez Türü: Yüksek Lisans
  5. Konular: Bilgisayar Mühendisliği Bilimleri-Bilgisayar ve Kontrol, Matematik, Computer Engineering and Computer Science and Control, Mathematics
  6. Anahtar Kelimeler: Belirtilmemiş.
  7. Yıl: 2012
  8. Dil: İngilizce
  9. Üniversite: University of Florida
  10. Enstitü: Yurtdışı Enstitü
  11. Ana Bilim Dalı: Belirtilmemiş.
  12. Bilim Dalı: Belirtilmemiş.
  13. Sayfa Sayısı: 61

Özet

Özet yok.

Özet (Çeviri)

We investigated the performance of four different propensity score (PS) methods to reduce selection bias in estimates of the average treatment effect (ATE) in observational studies: inverse probability of treatment weighting (IPTW), truncated inverse probability of treatment weighting (TIPTW), optimal full propensity score matching (OFPSM), and propensity score stratification (PSS). We compared these methods in combination with three methods of standard error estimation: weighted least squares regression (WLS), Taylor series linearization (TSL), and jackknife (JK). We conducted a Monte Carlo Simulation study manipulating the number of subjects and the ratio of treated to total sample size. The results indicated that IPTW and OFPSM methods removed almost all of the bias while TIPTW and PSS removed about 90% of the bias. Some of TSL and JK standard errors were acceptable, some marginally overestimated, and some moderately overestimated. For the lower ratio of treated on sample sizes, all of the WLS standard errors were strongly underestimated, as designs get balanced, the underestimation gets less serious. Especially for the OFPSM, all of the TSL and JK standard errors were overestimated and WLS standard errors under estimated under all simulated conditions.

Benzer Tezler

  1. Three essays in applied macroeconomics: A quasi-experimental approach

    Uygulamalı makroekonomi üzerine makaleler: Yarı deneysel bir yaklaşım

    AYMAR BERENGER ISMAEL NANA

    Doktora

    İngilizce

    İngilizce

    2022

    EkonomiAnadolu Üniversitesi

    İktisat Ana Bilim Dalı

    DOÇ. DR. İSMAİL ONUR BAYCAN

  2. Çoklu atama sonrası propensity skor tahmin yöntemlerine yeni yaklaşımlar

    New methods for estimating propensity scores following multiple imputation

    SEVİNÇ PÜREN YÜCEL KARAKAYA

    Doktora

    Türkçe

    Türkçe

    2024

    BiyoistatistikÇukurova Üniversitesi

    Biyoistatistik Ana Bilim Dalı

    DOÇ. DR. İLKER ÜNAL

  3. Eğilim skoru eşleştirme yöntemlerinin performanslarının değerlendirilmesi ve web tabanlı bir arayüzün geliştirilmesi

    Evaluating the performance of propensity score matching methods and developing a web based interface

    GÜLDEN HAKVERDİ

    Doktora

    Türkçe

    Türkçe

    2023

    BiyoistatistikEge Üniversitesi

    Biyoistatistik ve Tıbbi Bilişim Ana Bilim Dalı

    DOÇ. DR. TİMUR KÖSE

    PROF. DR. CEMİL ÇOLAK