回归法推断手印和足迹与身高和体重的关系

目的探讨身高、体重与足迹、手印长宽的关系。方法通过足迹、手印的捺印和测量,大量地收集样本足迹、手印与身高、体重等数据,借助SPSS数理统计软件,进行一元线性回归分析。结果分别建立了由左右足迹、手印全长、掌宽推算身高与体重的10个一元线性回归方程,并对依据各个指标分别推算结果的可靠性进行比较研究。结论本研究建立的回归方程可用于山东地区部分人群的身高与体重推算;依据足迹较依据手印推算身高体重结果更可靠;在左右两侧足迹、手印都可利用的情况下,推断身高时应优先选用右侧;推断体重时应优先选用左侧。     

利用残缺赤足足迹推算身高

目的由于主客观条件的影响,犯罪现场中常见的足迹多为不完整的残缺足迹,如何能够有效地利用残缺足迹,对案件破获往往具有至关重要的作用。方法从残缺赤足足迹的反映形态出发,选择足迹中明显、稳定的特征点,确定特征量,通过数理统计分析,建立残缺赤足足迹推算身高的经验公式。结果在4个特征量中,跖前缘突点到跟后缘突点的距离与身高的相关性最好,跖内、外缘突点到跟后缘突点的距离与身高具有一定的相关性。结论根据现场残缺赤足足迹的反映情况,也可以近似推断嫌疑人的身高特点,为侦查提供方向。     

女性锁骨推算身高初步研究

个人识别是法医学研究的重要课题,包括性别、年龄、身高及种族4个主要生物学识别属性。而推算生前身高是对无名尸块、尸骨等进行个人识别的一项重要指标。     

利用足迹特征分析身高时应注意的问题

利用足迹进行遗留足迹人的身高分析是一项经常使用的足迹检验技术,本文针对不同的身高分析方法,探讨在这些方法的使用过程中应注意的一些问题,以期提高利用足迹进行身高分析的准确率,充分发挥这一检验技术在侦查工作中的作用。     

数字X线测量上肢长骨推算身高

目的应用数字X线测量上肢长骨,建立适合当代中国四川汉族人群长骨推算身高的回归方程。方法按纳入标准对365例四川汉族正常人进行身高测量及上肢的数字X线检查,测量上肢各长骨不同标志点之间的长度,用SPSS统计软件对各测量值与身高进行相关回归分析,并对回归方程进行回代检验。结果共建立27个一元回归方程以及3个多元回归方程,各方程都具有统计学意义。上肢长骨中,尺骨相关性大于桡骨,男性相关性大于女性,多元回归方程的准确性高于一元回归方程。结论放射学方法测量长骨推算身高是一项简单、实用的方法,更适合上肢尸块的个人识别,值得进一步研究。     

放射影像学方法测量活体女性颈椎推算身高

目的测量颈椎高度建立四川汉族女性人群的身高推算方程，为法医学个人识别提供帮助。方法应用计算机X线摄影放射学方法，在209例四川汉族女性颈椎CR片上测量C3～C7椎体高度，并准确测量身高。按年龄是否大于45岁进行分组，对各颈椎的测量数据与身高进行线性回归分析，建立颈椎推算身高的回归方程。结果共建立一元回归方程36个，多元回归方程12个，所有回归方程经线性回归模型假设检验，均有统计学意义（P〈0．05）。所建立的回归方程的复相关系数（r）在0．628～0．280范围内，回归方程的标准误在4．03～5．03cm范围内。结论本研究所建立的回归方程，可用于四川汉族女性颈椎的身高推算。     

X线摄影测量活体胫腓骨长度推算身高

目的应用计算机X线摄影（computer radiography,CR）测量活体胫腓骨长度,建立适合当代中国北方汉族人群胫腓骨长度推算身高的数学模型。方法在422例（男性207例．女性215例）活体山东汉族成年人的胫腓骨正位CR片上测量5项长度指标,同时测量其身高。通过各项测量指标与身高的线性回归分析、线性回归模型假设检验的方差分析以及偏回归系数的t检验．建立运用胫腓骨长度推算身高的回归方程;并对所建立的方程进行身高预测值与真实值的配对t检验、残差分析等方程的预测与诊断。结果共建立有统计学意义的一元回归方程35个一所建立的回归方程的相关系数在0．909～0．823范围内．回归方程的估计值标准误在2．48～3．87cm范围结论应用CR放射学方法测量胫腓骨长度推算身高．可以为法医学个人识别身高推算提供帮助,建立的回归方程适用于中国北方汉族人群胫腓骨的身高推算。     

204例大学生由手长、中指长推算身高的回归方程

本文通过对204名大学生手长、中指长、身高等项指标的测定,得出手长、中指长、中指末节长与身高的均数、标准差、标准误差中指长、中指末节长与手长、中指末节长与中指长的比值,并作了手长与身高,中指长与身高的回归分析,旨在为从事法医的同行测量身高提供参考。     

运用数字X线摄影法测量跟骨推算身高

目的测量跟骨侧位数字X线摄影（DR）片上相关长度指标,建立跟骨推算身高的回归方程。方法应用数字X线摄影方法,在393例（男性174例,女性219例）活体（四川汉族成年人）跟骨侧位DR片上测量5项长度指标,同时测量其身高。通过各项长度测量指标与身高的线性回归分析,建立跟骨推算身高的回归方程;并对所建方程进行身高预测值与实际值的配对t检验、残差分析、等方差性检验及共线性检验。结果共建立有统计学意义的一元回归方程10个,多元回归方程3个。回归方程的复相关系数（R）在0．653～0．218范围内,身高估计值标准误（SE）在4．59～6．68cm范围。结论本研究所建立的身高推算方程,可作为四川汉族人群跟骨推算身高的依据。     

应用锁骨薄层CT容积重建影像推算四川汉族身高

目的探讨锁骨薄层CT三维容积重建影像(CT-VRT)在身高推算中的应用价值,以期更新我国西南地区身高推算数据,为鉴定实践提供技术支撑。方法应用300例锁骨薄层CT-VRT影像,测量并计算左侧锁骨长(LCL)、右侧锁骨长(RCL)、双侧锁骨均长(ACL),分析身高与LCL、RCL、ACL相关性及性别差异,建立身高推算线性回归方程,并对所建模型进行回代检验。结果男性、女性ACL和身高的相关系数分别为0.534、0.707;LCL和身高的相关系数分别为0.484、0.680;RCL和身高的相关系数分别为0.523、0.695。分别建立ACL、LCL、RCL男女性身高推算线性回归模型。回代检验示ACL方程男性身高推算平均绝对误差(MAD)为4.48cm,女性MAD为3.51cm;LCL方程男性身高推算MAD为4.60cm,女性MAD为3.64cm;RCL方程男性身高推算MAD为4.49cm,女性MAD为3.59cm。结论建立的推算身高的回归方程具有统计学意义,模型预测精度较高,表明利用薄层CT-VRT影像测量的锁骨可运用于四川汉族人群身高推算研究。但模型R2较小,因此在应用ACL进行身高推算时最好结合其他指标。     

身高推断的法医人类学研究进展

身高属于个体识别的重要指标之一,历来是法医人类学研究的重点和热点。近几年国内外对于身高推断的研究又有新进展。笔者主要对近六年来国内外学术界发表的相关文献进行查阅,并精选具有代表性的文献进行综述,发现主要有以下新的研究进展和趋势:(1)随着人类平均身高的不断增长,原有身高推断方程有不断更新修正的需要;(2)性别、年龄、人种、地域等因素对身高推断影响大,设计实验研究方案时应考虑加入上述因素;(3)医学影像学技术,特别是CT技术成为近年来法医人类学身高推断研究的新方法。     

Estimation of stature from hand impression: a nonconventional approach

Stature is used for constructing a biological profile that assists with the identification of an individual. So far, little attention has been paid to the fact that stature can be estimated from hand impressions left at scene of crime. The present study based on practical observations adopted a new methodology of measuring hand length from the depressed area between hypothenar and thenar region on the proximal surface of the palm. Stature and bilateral hand impressions were obtained from 503 men of central India. Seventeen dimensions of hand were measured on the impression. Linear regression equations derived showed hand length followed by palm length are best estimates of stature. Testing the practical utility of the suggested method on latent prints of 137 subjects, a statistically insignificant result was obtained when known and estimated stature derived from latent prints was compared. The suggested approach points to a strong possibility of its usage in crime scene investigation, albeit the fact that validation studies in real-life scenarios are performed.     

Evaluation of Stature Estimation from the Database for Forensic Anthropology*†

Abstract: Trotter and Gleser’s ( 1 - 3 ) stature equations, conventionally used to estimate stature, are not appropriate to use in the modern forensic context. In this study, stature is assessed with a modern (birth years after 1944) American sample (N = 242) derived from the National Institute of Justice Database for Forensic Anthropology in the United States and the Forensic Anthropology Databank. New stature formulae have been calculated using forensic stature (FSTAT) and a combined dataset of forensic, cadaver, and measured statures referred to as Any Stature (ASTAT). The new FSTAT‐based equations had an improved accuracy in Blacks with little improvement over Ousley’s ( 4 ) equations for Whites. ASTAT‐based equations performed equal to those of FSTAT equations and may be more appropriate, because they reflect both the variation in reported statures and in cadaver statures. It is essential to use not only equations based on forensic statures, but also equations based on modern samples.     

Stature Estimation from Foot Length Using Universal Regression Formula in a North Indian Population

Abstract:  Stature is a significant parameter in establishing identity of an unknown. Conventionally, researchers derive regression formula separately for males and females. Sex, however, may not always be determined accurately, particularly in dismembered remains and thus the need for a universal regression formula for stature estimation irrespective of sex of an individual. The study was carried out in an endogamous group of North India to compare the accuracy of sex-specific regression models for stature estimation from foot length with the models derived when the sex was presumed as unknown. The study reveals that regression equation derived for the latter can estimate stature with reasonable accuracy. Thus, stature can be estimated accurately from foot length by regression analysis even when sex remains unknown.     

Age-related factors in the relationship between foot measurements and living stature and body weight

The measurements of feet and footprints are especially important in forensic identification, as they have been used to predict the body height and weight of victims or suspects. It can be observed that the subjects of forensic-oriented studies are generally young adults. That is to say, researchers rarely take into consideration the body's proportional changes with age. Hence, the aim of this study is to generate equations which take age and sex into consideration, when stature and body weight are estimated from foot and footprints dimensions. With this aim in mind, we measured the stature, body weight, foot length and breadth, heel breadth, footprint length and breadth, and footprint heel breadth of 516 volunteers (253 males and 263 females) aged between 17.6 and 82.9 years using standard measurement techniques. The sample population was divided randomly into two groups. Group 1, the study group, consisted of 80% of the sample (n = 406); the remaining 20% were assigned to the cross-validation group or Group 2 (n = 110). In the first stage of the study, we produced equations for estimating stature and weight using a stepwise regression technique. Then, their reliability was tested on Group 2 members. Statistical analyses showed that the ratios of foot dimensions to stature and body weight change considerably with age and sex. Consequently, the regression equations which include these variables yielded more reliable results. Our results indicated that age and sex should be taken into consideration when predicting human body height and weight for forensic purposes.     

Testing Anatomical Methods for Stature Estimation on Individuals from the W. M. Bass Donated Skeletal Collection

Abstract:  This study compared eight versions of the anatomical method for stature estimation on a white male sample ( n  = 34) from the W. M. Bass Donated Skeletal Collection. The aim was to evaluate errors in the estimates and to discuss how useful the methods are in forensic context. The average error estimating living stature was less than 1 cm for six of the methods. The correlations between the estimates were high ( r  = 0.982–0.999). In practice, differences between the versions as well as those between long bone-based equations and anatomical methods were small. Anatomical method is nevertheless more accurate than long bone regressions when individuals with atypical body proportions are examined.