2012公卫上机 参考答案 (1).doc

东南大学 2012 年研究生课程考试试卷课程名称：医学统计学 课程编号： S042201 考试历时： 60 分钟 考核方式：开卷 闭卷 院（系） 姓名 学号 成绩 本部分为上机题，共30分。笔试：1、完全随机条件下，根据数据类型、前提条件选择统计学同学2、多变量分析与多因素分析的区别并举例3、信度和效度的评价方法？评价信度的统计学方法4、正交设计 选最优组合5、协方差的目的。一个例子进行分析6、预测的方法、步骤ARIMA p d q值7meta分析步骤，森林图以及同质性判别8单因素方差分析的条件、验证其条件的统计学方法（至少五种）9量表与问卷的区别以及量表的结构1、在一项研究党参（因素A）和可的松（因素B）对ATP酶作用的研究中，研究者采用析因设计，结果见表1，观察指标为单个巨噬细胞ATP酶的相对含量，请对该资料进行分析。（10分）表1 33只动物实验后巨噬细胞ATP酶的相对含量党参（+）党参（-）可的松（+）可的松（-）可的松（+）可的松（-）26.6131.842.7101.655.2123.730.267.270.2320.1102.9138.767.9177.957.6170.525.5136.1104.1123.435.1224.978.790.6128.3361.483.2145.072.9183.566.3186.1188.42、 20个病人按某个特征分为两组（以group=1、2表示），分别以30分钟的时间间隔，测量前额的温度（）共测4次得结果如表所示，问（1）两组病人的前额温度平均数之间有无统计学差异？（2）请绘制两组平均体温随时间改变的线图（3）以第1个时间点为对照，进行两两比较。（第2与3步只需列出程序！）10分组别T1T2T3T4组别T1T2T3T41.0030.9030.7030.9030.902.0031.5030.6030.8031.001.0031.9031.6031.6031.702.0031.2031.2031.1031.301.0031.3031.1031.0031.302.0031.3031.3031.5031.401.0032.1031.0031.7031.302.0030.4030.8030.4030.201.0030.9031.2030.5030.802.0030.7030.9030.9030.901.0031.3031.7031.4031.202.0029.8030.8030.9030.801.0031.3031.8031.8031.702.0031.4032.0031.7031.601.0032.1033.0031.7031.502.0030.9032.4031.8031.901.0030.3030.9030.8030.602.0031.1031.3031.2031.201.0032.2032.1032.2032.402.0031.3031.5031.6031.703利用抑郁自评量表（SDS）对大学生进行调查，SDS共有4个领域：精神性情感症状(total1)、躯体性障碍(total2)、精神运动性障碍(total3)、抑郁的心理障碍(total4)，其分值越小，抑郁可能性越小。数据集为SDS.sav，其中性别（gender），1=男，2=女；地区，1=城市，2=农村。 （10分）（1）试比较不同地区的大学生抑郁间的差异？（2）变量c13到c20是抑郁的心理障碍的8个条目，试分析抑郁的心理障碍的信度。1. 析因设计Tests of Between-Subjects EffectsDependent Variable: xSourceType III Sum of SquaresdfMean SquareFSig.Corrected Model110241.528a336747.17612.632.000Intercept427853.9741427853.974147.081.000a10762.378110762.3783.700.064b77430.555177430.55526.618.000a * b18371.180118371.1806.315.018Error84360.128292908.970Total659846.35033Corrected Total194601.65632a. R Squared = .566 (Adjusted R Squared = .522)1. 党参Dependent Variable: x党参MeanStd. Error95% Confidence IntervalLower BoundUpper Bound有党参132.63413.104105.834159.434无党参96.32113.59068.526124.1172. 可的松Dependent Variable: x可的松MeanStd. Error95% Confidence IntervalLower BoundUpper Bound有65.77813.95737.23294.323无163.17812.713137.178189.1783. 党参 * 可的松Dependent Variable: x党参可的松MeanStd. Error95% Confidence IntervalLower BoundUpper Bound有党参有60.21319.06921.21299.213无205.05617.978168.286241.825无党参有71.34320.38529.650113.036无121.30017.97884.530158.0702.重复测量资料Mauchlys Test of SphericityaMeasure: MEASURE_1Within Subjects EffectMauchlys WApprox. Chi-SquaredfSig.EpsilonbGreenhouse-GeisserHuynh-FeldtLower-boundfactor1.32718.6785.002.665.790.333Tests the null hypothesis that the error covariance matrix of the orthonormalized transformed dependent variables is proportional to an identity matrix.a. Design: Intercept + group Within Subjects Design: factor1b. May be used to adjust the degrees of freedom for the averaged tests of significance. Corrected tests are displayed in the Tests of Within-Subjects Effects table.Tests of Between-Subjects EffectsMeasure: MEASURE_1 Transformed Variable: AverageSourceType III Sum of SquaresdfMean SquareFSig.Intercept78293.841178293.84182048.709.000group1.27511.2751.336.263Error17.17618.954Tests of Within-Subjects EffectsMeasure: MEASURE_1SourceType III Sum of SquaresdfMean SquareFSig.factor1Sphericity Assumed.4103.1371.412.249Greenhouse-Geisser.4101.996.2061.412.257Huynh-Feldt.4102.370.1731.412.255Lower-bound.4101.000.4101.412.250factor1 * groupSphericity Assumed.3363.1121.158.334Greenhouse-Geisser.3361.996.1681.158.326Huynh-Feldt.3362.370.1421.158.330Lower-bound.3361.000.3361.158.296Error(factor1)Sphericity Assumed5.23154.097Greenhouse-Geisser5.23135.936.146Huynh-Feldt5.23142.661.123Lower-bound5.23118.000.2911. group * factor1Measure: MEASURE_1groupfactor1MeanStd. Error95% Confidence IntervalLower BoundUpper Bound1.00131.430.18431.04231.818231.510.19931.09131.929331.360.15731.03031.690431.340.16231.00031.6802.00130.960.18430.57231.348231.280.19930.86131.699331.190.15730.86031.520431.200.16230.86031.5403、Multivariate TestsaEffectValueFHypothesis dfError dfSig.InterceptPillais Trace.9685227.193b4.000700.000.000Wilks Lambda.0325227.193b4.000700.000.000Hotellings Trace29.8705227.193b4.000700.000.000Roys Largest Root29.8705227.193b4.000700.000.000cityPillais Trace.0173.059b4.000700.000.016Wilks La