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07/05/2026

🍎🍊 β€œWe can’t compare apples to oranges. Or May be we can!!!"

Propensity Score Matching (PSM)
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⚠️ **The core problem: Selection Bias**

In real-world studies, treatment groups are often different *before treatment even starts.*

Example:

πŸ’Š New treatment group β†’ younger, lower-risk patients
πŸ₯ Standard treatment group β†’ older, sicker patients

So if outcomes differ later…
❌ it may NOT be because of the treatment itself.

This is the classic:

🍎 **Apples vs Oranges problem**

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🎯 **What PSM tries to do**

PSM creates *fairer comparisons* by matching patients with similar baseline characteristics.

Think of it as:

πŸ§β€β™‚οΈ Matching each treated patient
with
πŸ§β€β™€οΈ a similar control patient

based on:
βœ” age
βœ” s*x
βœ” comorbidities
βœ” disease severity
βœ” other baseline variables

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πŸ“Œ **The 4-step idea behind PSM**

1️⃣ Collect baseline characteristics
2️⃣ Calculate a β€œpropensity score”
β†’ probability of receiving the treatment

3️⃣ Match patients with similar scores
4️⃣ Compare balanced groups

βš–οΈ After matching, groups become more comparable β†’ less biased analysis

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πŸ’‘ Important insight:

PSM does **NOT** create perfect randomization.

It only balances:
βœ” measured variables

But:
❌ hidden or unmeasured confounders may still exist

That’s why:
πŸ§ͺ RCTs remain the gold standard
πŸ“Š But PSM greatly improves observational studies

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πŸ“Œ Bottom line:

Without adjustment:
🍎 β‰  🍊

With proper matching:
🍎 🀝 🍊

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To learn more about observational studies and PSM, join our upcoming course

πŸ‘‰ https://wa.me/201119678899?text=I%20want%20to%20join%20the%20observationa%20studies%20course

04/05/2026

Observational study designs made simple πŸ‘‡

This infographic breaks down the core analytical designs:
πŸ”Ή Case-Control β†’ looking from present to past
πŸ”Ή Cohort β†’ following from present to future
πŸ”Ή Cross-Sectional β†’ a snapshot at one point in time
πŸ”Ή Hybrid designs (Nested case-control & Case-crossover)

πŸ’‘ Each design serves a different purpose β€” choosing the right one is critical for generating valid evidence.

If you work with real-world data or are planning a research project, understanding these designs is essential.

πŸ“© Want to learn how to choose and apply the right design with confidence? click on the following link

πŸ‘‰ https://wa.me/201119678899?text=I%20want%20to%20join%20the%20Observational%20Studies%20course

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