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JNTU Pharm. D IV Year BIOSTATISTICS AND RESEARCH METHODOLOGY Previous Question Paper (October/November - 2019 - R08)

Pharm. D | IV Year | IV Year | R08 | October/November - 2019

Answer PaperPaper Code: PD404Maximum Marks: 70Time: 3 hours

Answer any five questions. All questions carry equal marks.

Main

114 marks
a

Clinical study design – Interventional studies

7 marks

Answer

Interventional studies, or clinical trials, are research designs where the investigator actively intervenes by assigning participants to specific treatments or exposures to evaluate their effects. The gold standard is the Randomized Controlled Trial (RCT).

Key components include:

  • Randomization: Participants are assigned to intervention or control groups by chance to eliminate selection bias and ensure baseline comparability.
  • Control Group: A group receiving a placebo, standard treatment, or no intervention to provide a baseline for comparison.
  • Blinding (Masking): Single-blind (participant unaware), double-blind (participant and researcher unaware), or triple-blind (participant, researcher, and data analyst unaware) designs to minimize observation and performance bias.
  • Study Phases: Trials progress through Phase I (safety/dosage), Phase II (efficacy/side effects), Phase III (large-scale therapeutic comparison), and Phase IV (post-marketing surveillance).
b

Determination of sample size

7 marks

Answer

Sample size determination is the process of calculating the minimum number of participants required to detect a clinically significant effect with statistical confidence. It balances the need for study power against ethical and resource constraints.

The calculation depends on four primary parameters:

  • Effect Size: The minimum difference between groups that the researcher wishes to detect.
  • Alpha (α) Level: The significance level, typically set at 0.05, representing the probability of a Type I error (false positive).
  • Power (1-β): The probability of correctly rejecting the null hypothesis when it is false, usually set at 80% or 90% to minimize Type II error (false negative).
  • Standard Deviation (σ): The expected variability of the outcome measure in the population.

The general formula for comparing two means is:

n = 2 * (Zα/2 + Zβ)² * σ² / Δ²

Where n is the sample size per group, Zα/2 is the critical value for the significance level, Zβ is the critical value for power, σ is the standard deviation, and Δ is the minimum clinically important difference.

2

How do you write a report of scientific investigation and explain various methods for presentation of data?

14 marks

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314 marks
a

Merits and demerits of mean

5 marks

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b

Coefficient of variation

4 marks

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c

Chi-square test

5 marks

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414 marks
a

Histogram

4 marks

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b

Scatter plots

5 marks

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c

Semilogarthimic plots

5 marks

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5

Explain with example the use of computers for pharmaceutical care in community pharmacy. Add note on prevalence.

14 marks

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614 marks
a

SAS

5 marks

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b

Null hypothesis

4 marks

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c

Wilcoxan’s signed rank test

5 marks

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7

In a HPLC analysis the peak height (mm) vs. concentration (mg/ml) of a drug solution is as follows:

Conc.51015202530354045
Peak height50150145190180310285395385

Calculate Pearson’s correlation coefficient for the above data.

14 marks

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814 marks
a

Patient record database management

7 marks

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b

Inventory control in hospital pharmacy

7 marks

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