PHLT 8520 · Week 2

PHLT 8520 Week 2 design selection example

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Before any design is named, the Week 2 design selection for PHLT 8520 writes out the trial nobody would run: pregnant employees randomly assigned to rosters with or without night shifts, then followed to delivery. Each observational design is placed against that protocol in turn, and the one chosen is the design whose departures from it can be stated and bounded.

What this page holds

PHLT 8520's design selection example for Week 2 ranks four observational designs by how closely each copies an impossible trial of night rosters in early pregnancy, then commits to one. Searches like "phlt 8520 week 2 assignment example", "phlt8520 week 2 sample" and "phlt 8520 week 2 example" land here.

What a finished PHLT 8520 Week 2 design selection looks like

Across about three pages, the selection opens with a protocol table for the hypothetical trial: eligibility at confirmation of pregnancy, two roster strategies, random assignment, follow-up from assignment to delivery, the outcome of birth before 37 completed weeks, and the contrast of interest. A short paragraph explains why that trial will never exist. Four designs follow, each in its own section: a prospective cohort enrolled at the first prenatal contact, a record-linked cohort built from timekeeping and delivery files, a case-control study nested in birth records with shift history recalled after delivery, and a cross-sectional employee survey. Every section ends by naming the protocol element its design breaks. A final section selects the record-linked cohort and lists the departures it accepts, with time zero set at confirmation of pregnancy chief among them.

How a PHLT 8520 Week 2 example is structured

The protocol table comes first because it turns an open question, which design is best, into a closed one: which departure from this protocol can the author defend. That move is credited to Hernan and Robins' target trial framework, named for its central idea only. Designs appear from the closest emulation to the furthest, so the reader watches departures accumulate rather than meeting them all at once. Each section follows the protocol's own row order, eligibility, strategies, time zero, outcome, which keeps every comparison on the same terms. The cross-sectional survey is included and rejected in writing, since a design dismissed silently looks overlooked. Time zero gets more space than any other element, because starting follow-up after some pregnancies have already ended would admit only the survivors. The selection comes last and restates, in one sentence, what the chosen design cannot emulate.

The trial no one would run

Random assignment of pregnant employees to rosters with or without night shifts sets the protocol every design is measured against.

Closest emulation first

A prospective cohort enrolled at first prenatal contact comes nearest the protocol and costs the most to assemble.

Records already written

Timekeeping and delivery files support a cohort that reconstructs rosters without asking anyone to remember them.

Memory after delivery

A case-control study nested in birth records depends on shift histories recalled once the outcome is known.

One survey, rejected

Measuring current shifts and past preterm births together breaks time order, a flaw the selection states outright.

Time zero at confirmation

The record-linked cohort is chosen, with follow-up starting when pregnancy is confirmed and its remaining departures listed.

Where marks go in PHLT 8520 Week 2

Design selection is graded on the reason attached to the choice, and this piece makes the reason checkable by writing the protocol first. Specifying the target trial collects the opening share, because an explicit protocol turns preference into comparison. Naming the element each design breaks takes the biggest block: the case-control study marked down for recall after delivery, the survey for time order, each tied to the protocol row that fails. Time zero draws distinctive credit, since aligning eligibility, exposure assignment and the start of follow-up is a point many selections never reach. Ending on what the chosen design cannot copy earns the honesty share. Selections at this level stall when designs are ranked by a textbook hierarchy, when cost is the only argument, or when the protocol is written but never used.

Get a PHLT 8520 Week 2 example written to your instructions

Include your Week 2 prompt, rubric and research question, plus any dataset your section can already reach. The selection writes the ideal protocol for that question, sets each candidate design against it, and commits to the one whose departures can be named. Expect it within 24-48 hours; a first request costs nothing.

PHLT 8520 Week 2 questions, answered

What is a target trial?

The randomized trial an observational study would be if it could be run: its eligibility rules, the strategies compared, when follow-up starts, the outcome and the contrast. Hernan and Robins proposed writing that protocol out explicitly and then designing the observational study to copy it as closely as the data allow. The selection uses the idea to compare designs. Your course may teach design choice another way, and a custom version can follow it.

Why not choose a case-control study, as many textbooks suggest for birth outcomes?

Preterm birth is common enough in a large workforce that a cohort built from existing records is feasible, and the case-control design here would rely on shift histories recalled after delivery, when memory may differ by outcome. The selection argues that openly. Where your question involves a rarer outcome, or no roster history survives in records, a custom selection may prefer case-control sampling, with the reason stated.

Does choosing a design settle the bias questions?

No, it decides which ones remain. Every observational design departs from its target trial somewhere, and the chosen cohort still carries confounding by household circumstances and selection around early pregnancy loss. Later weeks take those up one at a time. The selection has a narrower job: choose the design whose weaknesses can be named and later tested. The same reasoning adapts to whatever question your section assigns.