A Brief Guide to Decisions at Each Step of the Propensity Score Matching Process

Harris, Heather D.; Horst, S. Jeanne

doi:10.7275/yq7r-4820

Cited by 17 publications

(23 citation statements)

References 25 publications

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“…We performed PSM analysis using eight matching covariates known to influence either the exposure or the outcome, or both based on the unconfoundedness assumption. [19][20][21] We computed propensity scores in a logit model by fitting comprehensive knowledge of HIV as a function of the matching covariates. We assessed the initial balance in propensity scores using a back-to-back histogram.…”

Section: Discussionmentioning

confidence: 99%

“…We assessed the initial balance in propensity scores using a back-to-back histogram. 22 We then matched participants with and without compressive knowledge of HIV on similar propensity scores 23 using different matching approaches, namely nearest neighbour matching with and without calliper adjustment, 20 and optimal pair and optimal full matching. 21 A calliper is a distance within which matching occurs, computed as 20% of the SD of the propensity score to prevent bias from distant matches.…”

Section: Methodsmentioning

confidence: 99%

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Effect of comprehensive knowledge of HIV on risky sexual behaviours associated with HIV transmission among adult Ugandans: a propensity score-matched analysis

Izudi

Kadengye

2022

BMJ Open

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ObjectiveTo evaluate the effect of comprehensive knowledge of HIV on extramarital sexual relationships and consistent condom use.DesignQuasi-experimental study.Setting20 880 households, Uganda.ParticipantsMarried/cohabiting men and women, aged 15–54 years.MethodsWe applied propensity score-matched analysis and defined comprehensive knowledge of HIV as knowing that consistent use of condoms during sexual intercourse and having just one faithful partner without HIV reduces the chance of getting HIV, knowing that a healthy-looking person can have HIV and rejecting two local misconceptions (HIV can be transmitted by mosquito bites and by sharing food with a person who has HIV). The primary outcome was extramarital sexual relationship defined as involvement in a sexual relationship with a partner other than a spouse or cohabiting partner, within 12 months preceding the survey. The secondary outcome was consistent condom use, defined as using a condom at every sexual intercourse with any non-spouse/non-cohabiting partner over the past 12 months.ResultsAmong 18 504 participants matched in a 1:1 ratio, comprehensive knowledge of HIV showed no effect on extramarital sexual relationships (OR 1.03, 95% CI 0.96 to 1.11) but improved consistent condom use among married/cohabiting couples in extramarital sexual relationships (OR 1.18, 95% CI 1.02 to 1.37). Among married/cohabiting men, comprehensive knowledge of HIV had no effect on extramarital sexual relationships (OR 0.95, 95% CI 0.83 to 1.08) but improved consistent use of condoms in extramarital sexual relationships (OR 1.31, 95% CI 1.04 to 1.66). However, among married/cohabiting females, there was no effect on both outcomes.ConclusionsComprehensive knowledge of HIV has no effect on extramarital sexual relationships but increases consistent condom use among those in extramarital sexual relationships. There is a need to consistently provide correct HIV prevention messages among sexually active married/cohabiting couples in Uganda.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Effect of comprehensive knowledge of HIV on risky sexual behaviours associated with HIV transmission among adult Ugandans: a propensity score-matched analysis

Izudi

Kadengye

2022

BMJ Open

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“…, is the number of cases in the comparison group for the ith treated case. Practically, to estimate the ATET in Stata version 17.0, the study adopted the standard procedure, concisely presented by Harris and Horst (2016). Particularly, the logistic regression was used for calculating propensity scores (p-scores) while picking as many covariates to be used in the model as possible.…”

Section: Analytical Approachmentioning

confidence: 99%

“…A potential threat to validity to this strongly ignorable treatment assumption is when the balancing property is not attained between the groups for the variables. Given the importance of this assumption, both numerical and visual balance tests were adopted in this study to obtain the highest quality matches (Harris & Horst, 2016;Stuart, 2010). With this commonly used matching technique, computation of the ATT was then restricted to the region of common support.…”

Section: Analytical Approachmentioning

confidence: 99%

The Welfare Effects of Formal and Informal Financial Access in the Gambia: A Comparative Assessment

Manja

Badjie²

2022

Sage Open

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The aim of this study was to comparatively assess the impact of formal and informal finance on household welfare in the Gambia. The Gambia 2015 to 2016 Integrated Household Survey (IHS3) data was analyzed using Stata software version 17.0 to assess the impact of access to the various forms of finance on household food and non-food consumption expenditures, education expenditure, total income, and a subjective assessment of welfare. The study found that access to either formal or informal finance has some deleterious impacts on welfare, with the negative impacts from formal finance being generally lesser than those from informal finance, signaling that the different forms of finance have near-varying repercussions on household welfare. Access to and conditions of formal finance should be improved by removing or making less stringent the requirements, most of which are hard for households to meet.

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“…Selecting the covariates to be used in the model is the first stage in applying the PSM. It is vital to incorporate variables related to self-selection and traits present at the beginning of the intervention (Harris & Horst, 2016). The study looked at the variables that influenced households' participation in the program.…”

Section: Analytical Modelmentioning

confidence: 99%

Impact of Cash Transfer on Poverty Reduction in Lindi District, Tanzania

Njuga

Kazuzuru

PhD

2022

EAJESS

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Cash Transfers (CT) as a strategy for poverty reduction acquired prominence in Latin America but spread later to the rest of the developing world including Tanzania. Government through its umbrella institution, Tanzania Social Action Fund (TASAF) introduced what has become the largest CT for poor households in the country since 2010 to date. Although there is growing evidence on the impact of CT on poverty reduction, results are contextual. Thus, the paper examined the causal effect of CT on poverty reduction in Lindi District, Tanzania. Specifically, the study assessed the impact of CT on households’ overall wealth, housing conditions, use of basic services, productive and non-productive assets. The study employed Propensity Score Matching (PSM) to estimate the effects of CT on households by matching recipients and non-recipients’ households using Nearest Neighbor, Radius caliper and Mahalanobis matching techniques. Sample size constituted 398 respondents, split into equal number of recipients and non-recipients’ households. Five Focus Group Discussions (FGDs) and 13 Key Informants Interviews (KIIs) were conducted. Qualitative data was analysed using content analysis. Findings indicated that CT to poor households by itself is not enough to significantly reduce extreme poverty. However, the results indicated significant effect of CT on five poverty indicators which are type of floor, sanitation facilities, livestock, mobile phone and chair. The study recommends to government adoption of multi-intervention programs directed on key living standard indicators such as productive assets to transform the quality of low-income households.

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A Brief Guide to Decisions at Each Step of the Propensity Score Matching Process

Cited by 17 publications

References 25 publications

Effect of comprehensive knowledge of HIV on risky sexual behaviours associated with HIV transmission among adult Ugandans: a propensity score-matched analysis

Effect of comprehensive knowledge of HIV on risky sexual behaviours associated with HIV transmission among adult Ugandans: a propensity score-matched analysis

The Welfare Effects of Formal and Informal Financial Access in the Gambia: A Comparative Assessment

Impact of Cash Transfer on Poverty Reduction in Lindi District, Tanzania

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